Smart Cities nowadays are the most common approach for creating a vision for possible viable scenarios of urban development around the world. According to this concept, urban environment development is often linked and dependant by implementing and increased utilization of digital technologies. Technologies that enable real-time or close to real time monitoring and continuous analysis of events, which is assured by implementing different service and event indicators to control processes and improve service quality. Wide use of data transfer capabilities over the internet, which is considered an integral part of the Smart City, enables continuous monitoring and optimizing many domains like transportation, parking, lighting, security and even waste disposal processes, also monitoring can be used to initiate reaction on different incidents. The use of digital technologies is common approach of creating new solutions responding to the challenges of globalization in order to improve the quality of life and make cities competitive and sustainable. The authors use the literature review, overview and state-of-the-art review to identify in different Smart City models possible disadvantages and threats, and analyse reviewed concepts to identify possible solution for recognized problems. Cities are not only a mirror of the development of economics, cultural life and technology. The urban environment in many ways can also be viewed as a laboratory for biological and political processes and developments. The larger the city is, the greater the impact of the decisions and implementations on the environment in city, while neglecting certain aspects can be reflected with a negative synergy effects for the political, spatial, biological, economic, cultural, health, social and other dimensions. Smart cities should be controlled environments to certain degree to assure certain set processes and needed controls. The city management should be supported by relevant flows of information and technological processes. Technological processes perform the transformation of events to information (data), analyse and represents results of analysis. For more advanced implementations involves a direct manipulation of process by automated processes (like traffic regulation to reduce traffic jam). Still natural processes and people decisions introduces need for manual adjustments (decisions) what limits possibilities to be fully automate. Changing environments and degradation of environments challenges the urban environment management automation not only as information processes in single case, but can indicate significant higher impact due the negative synergies. The idea of Smart Cities as a fully automated and unmanned decision making solution to all urban problems have to be rejected at current capabilities for Artificial intelligence solutions. Innovative solutions to increase the sustainability of cities with support of human involvement to control the technology must be sought. Separately analysis should be carried out on cases of significant variances (potentially incidents induced by nature or human factor) from standard processes.